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master's degree (or equivalent) and PhD in Mathematics/Statistics/Data Science Research expertise in the analysis of complex systems Familiar with network analysis, concepts of resilience (e.g. adaptive
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, tensor analysis, and network science to foster the professional development of team members. Qualifications and experience essential PhD in Applied Mathematics in the fields of Numerical Linear Algebra
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Hospital, and with experts in mathematical modelling at the translational research hub IceLab , Umeå University. Work responsibilities As a postdoc in our team, you will be an integral part of a dynamic and
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and analysis of mathematical methods for novel imaging techniques and foundations of machine learning. Within the project COMFORT (funded by BMFTR) we aim to develop new algorithms for the training
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are looking for: a highly motivated researcher with at least 3 years of research experience (possibly as part of the PhD) in a field related to mathematical analysis of partial differential equations (PDEs
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candidate will conduct research related to a wide range of topic areas including the analysis of energy and power systems, optimization of veriable energy resources, electricity market design and operation
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processes and stochastic analysis Theoretical analysis of neural networks and deep learning Foundations of reinforcement learning and bandit algorithms Mathematical and algorithmic perspectives on large
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experience in mathematically rigorous statistical field theory, for example, topics involving constructive quantum field theory, renormalization group theory, conformal field theory, or analysis of near
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22 Aug 2025 Job Information Organisation/Company THE UNIVERSITY OF HONG KONG Research Field Computer science Sociology Ethics in health sciences Mathematics Researcher Profile Recognised Researcher
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architecture and forest structure analysis. We expect you to develop innovative research and report findings in high-impact scientific journals. We expect you to network and collaborate with remote sensing